Figure 1.

Figure 2.

Figure 3.

Figure 4.

Figure 5.

Linear random intercept model (maximum likelihood) with TFR as the dependent variable
| Between-Country Effect | Within-Country Effect | Absolute Difference (Within-Between) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| Coef. | SE | p | Coef. | SE | p | Coef. | SE | p | |
| Total Fertility Rate (t–1) | – | – | – | 0.92 | 0.018 | 0.001 | – | – | – |
| Female Labour Force Participation Rate | 0.008 | 0.004 | 0.05 | −0.0001 | 0.001 | 0.87 | 0.005 | 0.004 | 0.190 |
| Expenditure on family in cash | 0.08 | 0.053 | 0.12 | 0.026 | 0.011 | 0.02 | 0.072 | 0.047 | 0.120 |
| Mean Age at Birth | −0.009 | 0.04 | 0.82 | 0.028 | 0.007 | 0.001 | −0.037 | 0.033 | 0.260 |
| Gender Wage Gap | −0.001 | 0.004 | 0.70 | 0.002 | 0.0008 | 0.01 | −0.007 | 0.003 | 0.047 |
| Expenditure on family in-kind | 0.204 | 0.084 | 0.01 | −0.051 | 0.018 | 0.005 | 0.208 | 0.056 | 0.001 |
| Female Part-Time Employment Rate | 0.002 | 0.003 | 0.34 | 0.0007 | 0.001 | 0.48 | 0.003 | 0.002 | 0.102 |
| TFR in 2000 | 0.289 | 0.129 | 0.02 | – | – | – | – | – | – |
| Share of women (25–64) with tertiary education | 0.003 | 0.003 | 0.20 | −0.002 | 0.0007 | 0.001 | 0.008 | 0.002 | 0.003 |
| Regions | |||||||||
| “Old” Europe | 0.010 | 0.075 | 0.89 | – | – | – | – | – | – |
| Former Socialist block | 0.058 | 0.123 | 0.64 | – | – | – | – | – | – |
| Scandinavian | −0.097 | 0.126 | 0.44 | – | – | – | – | – | – |
| Mediterranean | 0.088 | 0.122 | 0.47 | – | – | – | |||
| Observations | 587 | ||||||||
| p (Level-2 Error / Total Error) | 0.70 | ||||||||
| Rho | 0.8652498 | ||||||||
| LR Test (H0: Level-2 Error=0) | 960.95, p=<.001 | ||||||||
Comparison of estimates between models
| Statistical models | Fixed Effects | Linear random intercept | |||||
|---|---|---|---|---|---|---|---|
| Variables | Coef. | SE | p | Between/within | Coef. | SE | p |
| TFR(t–1) | 0.917 | 0.018 | 0.001 | TFR (t–1) | 0.92 | 0.018 | 0.001 |
| FLFP | –0.0001 | 0.001 | 0.89 | FLFP_bw | 0.008 | 0.004 | 0.05 |
| FLFP_wi | –0.0001 | 0.001 | 0.87 | ||||
| Share of women (aged 25–64) with tertiary education | –0.002 | 0.0007 | 0.001 | Share with tertiary_bw | 0.003 | 0.003 | 0.20 |
| Share with tertiary_wi | –0.002 | 0.0007 | 0.001 | ||||
| Mean age at birth | 0.029 | 0.007 | 0.001 | Mean age at birth_bw | –0.009 | 0.04 | 0.82 |
| Mean age at birth_wi | 0.028 | 0.007 | 0.001 | ||||
| Gender wage gap | 0.002 | 0.0008 | 0.010 | Gender wage gap_bw | –0.001 | 0.004 | 0.70 |
| Gender wage gap_wi | 0.002 | 0.0008 | 0.01 | ||||
| Expenditure on family in cash | 0.026 | 0.011 | 0.02 | In cash_bw | 0.08 | 0.053 | 0.12 |
| In cash_wi | 0.026 | 0.011 | 0.02 | ||||
| Expenditure on family in-kind | –0.05 | 0.018 | 0.006 | In-kind_bw | 0.204 | 0.084 | 0.01 |
| In-kind_wi | –0.051 | 0.018 | 0.005 | ||||
| Female part-time employment rate | 0.0007 | 0.001 | 0.484 | Part-time_bw | 0.002 | 0.003 | 0.34 |
| Part-time_wi | 0.0007 | 0.001 | 0.48 | ||||
| TFR in 2000 | – | – | – | TFR in 2000 | 0.289 | 0.129 | 0.02 |
| “Old” Europe | – | – | – | “Old” Europe | 0.010 | 0.075 | 0.89 |
| Former Socialist block | – | – | – | Former Socialist block | 0.058 | 0.123 | 0.64 |
| Scandinavian | – | – | – | Scandinavian | –0.097 | 0.126 | 0.44 |
| Mediterranean | – | – | – | Mediterranean | 0.088 | 0.122 | 0.47 |
| rho | 0.97102756 | rho | 0.8652498 | ||||||
j_ceej-2023-0015_tab_008
| Notation | Definitions |
|---|---|
| TFR | Total fertility rate |
| FLFP | Female labour force participation |
| FE | Fixed effects method |
| OECD | The organization for economic co-operation and development |
| SE | Standard errors |
| S.D. | Standard deviations |
| Min | Minimum |
| Max | Maximum |
| GDP | Gross domestic product |
| ITS | Interrupted time-series analysis |
| GFC | Global financial crises |
| HDI | Human development index |
| AUS | Australia |
| AUT | Austria |
| BEL | Belgium |
| CAN | Canada |
| CZE | Czech Republic |
| DEU | Deutschland |
| DNK | Denmark |
| ESP | Espana |
| EST | Estonia |
| FIN | Finland |
| FRA | France |
| GBR | Great Britan |
| GRC | Grrecce |
| HUN | Hungary |
| IRL | Republic of Ireland |
| ISL | Iceland |
| ITA | Italy |
| JPN | Japan |
| KOR | Republic of Korea |
| LTU | Lithuania |
| LUX | Luxemburg |
| LVA | Latvia |
| NLD | Netherland |
| NOR | Norway |
| NZL | New Zeland |
| POL | Poland |
| PRT | Portugal |
| SVK | Slovakia |
| SVN | Slovenia |
| SWE | Sweden |
| SWI | Switzerland |
| USA | United States of America |
Fixed effects (FE) with TFR as the dependent variable
| Effect | Coef. | SE | p |
|---|---|---|---|
| Total Fertility Rate (t–1)*** | 0.917 | 0.018 | 0.001 |
| Female Labour force participation | –0.0001 | 0.001 | 0.893 |
| Expenditure on family in cash** | 0.026 | 0.011 | 0.02 |
| Mean Age at Birth*** | 0.029 | 0.007 | 0.001 |
| Gender Wage Gap** | 0.002 | 0.0008 | 0.01 |
| Expenditure on family in-kind** | –0.05 | 0.018 | 0.006 |
| Share of women (25–64) with tertiary education*** | –0.002 | 0.0007 | 0.001 |
| Female Part-Time Employment | 0.0007 | 0.001 | 0.484 |
The effect of the 2008 global financial crisis
| Coef. | SE | p | |
|---|---|---|---|
| The global financial crises | –0.026 | 0.007 | 0.001 |
| The trend in TFR before GFC | 0.007 | 0.001 | 0.001 |
| The trend in TFR after GFC | –0.012 | 0.001 | 0.001 |
Estimated country level residual (uij), their associated standard errors, (uijse) and ranking
| id | u0 | u0se | u0rank | country |
|---|---|---|---|---|
| 12 | 0.3136998 | 0.021553 | 1 | ISL |
| 8 | 0.3063421 | 0.019987 | 2 | FRA |
| 3 | 0.230887 | 0.019987 | 3 | BEL |
| 13 | 0.146161 | 0.019987 | 4 | IRL |
| 33 | 0.1302929 | 0.022163 | 5 | LTU |
| 1 | 0.1065629 | 0.019987 | 5 | AUS |
| 14 | 0.0802455 | 0.019987 | 6 | ITA |
| 4 | 0.0779239 | 0.019987 | 7 | CAN |
| 10 | 0.0641127 | 0.019987 | 8 | GRC |
| 25 | 0.0615938 | 0.019987 | 9 | SWE |
| 32 | 0.0523875 | 0.019987 | 10 | LVA |
| 27 | 0.0509602 | 0.019987 | 11 | GBR |
| 24 | 0.050717 | 0.019987 | 12 | ESP |
| 11 | 0.0450133 | 0.019987 | 13 | HUN |
| 19 | 0.0381806 | 0.033967 | 14 | NZL |
| 31 | 0.0365195 | 0.02047 | 15 | SVN |
| 5 | –0.0034718 | 0.019987 | 16 | CZE |
| 15 | –0.0157073 | 0.019987 | 17 | JPN |
| 18 | –0.0212104 | 0.019987 | 18 | NLD |
| 29 | –0.0649783 | 0.019987 | 19 | EST |
| 6 | –0.0719666 | 0.019987 | 20 | DNK |
| 23 | –0.0905423 | 0.019987 | 21 | SVK |
| 9 | –0.0953914 | 0.019987 | 22 | GER |
| 21 | –0.1052208 | 0.019987 | 23 | POL |
| 20 | –0.1343703 | 0.022829 | 24 | NOR |
| 7 | –0.1689568 | 0.020991 | 25 | FIN |
| 17 | –0.1751024 | 0.022163 | 26 | LUX |
| 2 | –0.1796078 | 0.022163 | 27 | AUT |
| 22 | –0.1950752 | 0.019987 | 28 | PRT |
| 16 | –0.2069601 | 0.019987 | 29 | KOR |
| 26 | –0.2630384 | 0.019987 | 30 | SWI |
| 28 | – | – | 32 | USA |
Correlation between TFR and between/within-country effect of FLFP for the 2000–2010 and 2011–2020 periods separately
| 2000–2010 | |||
| Coef. | SE | p | |
| FLFP between | 0.019 | 0.005 | 0.001 |
| FLFP within | 0.0162 | 0.002 | 0.001 |
| 2011–2020 | |||
| Coef. | SE | p | |
| FLFP between | 0.016 | 0.003 | 0.001 |
| FLFP within | –0.007 | 0.003 | 0.022 |
Summary statistics
| Variable | Observations | Mean | Standard Deviation | Minimum | Maximum |
|---|---|---|---|---|---|
| TFR | 693 | 1.62 | 0.34 | 0.86 | 3.11 |
| FLFP | 693 | 67.45 | 7.42 | 46.3 | 84.01 |
| Mean age at birth | 693 | 30 | 1.18 | 26.60 | 33.2 |
| Gender wage gap | 693 | 15.04 | 7.6 | 0.38 | 41.65 |
| Share of women (ages 25–64) with tertiary education | 652 | 33.91 | 11.77 | 9.06 | 66.45 |
| Public expenditure on family in cash as % of GDP | 693 | 20.42 | 5.02 | 4.41 | 32.03 |
| Public expenditure on family in-kind as % of GDP | 693 | 62 | 8.7 | 38.90 | 84.08 |
| Part-time employment rate | 672 | 23.84 | 12.87 | 2.32 | 61.14 |
